Understanding Deep Neural Networks with Rectified Linear Units

Understanding Deep Neural Networks with Rectified Linear Units

4 November 2016

Anirbit Mukherjee

Papers citing "Understanding Deep Neural Networks with Rectified Linear Units"

12 / 12 papers shown

Title
Time to Spike? Understanding the Representational Power of Spiking Neural Networks in Discrete Time Duc Anh Nguyen Ernesto Araya Adalbert Fono Gitta Kutyniok 98 0 0 23 May 2025
Better Neural Network Expressivity: Subdividing the Simplex Egor Bakaev Florestan Brunck Christoph Hertrich Jack Stade Amir Yehudayoff 53 0 0 20 May 2025
A Relative Homology Theory of Representation in Neural Networks Kosio Beshkov 141 0 0 17 Feb 2025
Neural Networks and (Virtual) Extended Formulations Christoph Hertrich Georg Loho 87 3 0 05 Nov 2024
On the Complexity of Neural Computation in Superposition Micah Adler Nir Shavit 152 3 0 05 Sep 2024
When Deep Learning Meets Polyhedral Theory: A Survey Joey Huchette Gonzalo Muñoz Thiago Serra Calvin Tsay AI4CE 123 36 0 29 Apr 2023
SAL: Sign Agnostic Learning of Shapes from Raw Data Matan Atzmon Y. Lipman 3DPC FedML 97 510 0 23 Nov 2019
Large Scale Model Predictive Control with Neural Networks and Primal Active Sets Steven W. Chen Tianyu Wang Nikolay Atanasov Vijay Kumar M. Morari 48 90 0 23 Oct 2019
Why Deep Neural Networks for Function Approximation? Shiyu Liang R. Srikant 80 383 0 13 Oct 2016
The Power of Depth for Feedforward Neural Networks Ronen Eldan Ohad Shamir 166 731 0 12 Dec 2015
On the number of response regions of deep feed forward networks with piece-wise linear activations Razvan Pascanu Guido Montúfar Yoshua Bengio FAtt 102 257 0 20 Dec 2013
Building high-level features using large scale unsupervised learning Quoc V. Le MarcÁurelio Ranzato R. Monga M. Devin Kai Chen G. Corrado J. Dean A. Ng SSL OffRL CVBM 104 2,268 0 29 Dec 2011